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Semi-intrusive approach for stiffness and strength topology optimization under uncertainty
Citation Link: https://doi.org/10.15480/882.4830
Publikationstyp
Journal Article
Date Issued
2023-09
Sprache
English
Institut
TORE-DOI
Journal
Volume
24
Issue
3
Start Page
2181
End Page
2211
Citation
Optimization and Engineering 24 (3): 2181-2211 (2023-09)
Publisher DOI
Scopus ID
Publisher
Springer Science + Business Media B.V
A semi-intrusive approach for robust design optimization is presented. The stochastic moments of the objective function and constraints are estimated using a Taylor series-based approach, which requires derivatives with respect to design variables, random variables as well as mixed derivatives. The required derivatives with respect to design variables are determined using the intrusive adjoint method available in commercial software. The partial derivatives with respect to random parameters as well as the mixed second derivatives are approximated non-intrusively using finite differences. The presented approach provides a semi-intrusive procedure for robust design optimization at reasonable computational cost while allowing an arbitrary choice of random parameters. The approach is implemented as an add-on for commercial software. The method and its limitations are demonstrated by academic test cases and industrial applications.
Subjects
Robust design optimization
Semi-intrusive approach
Taylor series approach
Topology optimization
Uncertainty
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding(s)
Funding Organisations
Publication version
publishedVersion
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